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Machine Learning Researcher Jobs (NOW HIRING)

Morgan Stanley

Machine Learning Researcher

Broadway, VA · On-site

$154K - $213K/yr

Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms many business units and technology teams to solve mission-critical problems. We are a highly ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

... machine learning models, systems, platforms, or methods. Preferred : • PhD in Computer Science, Electrical Engineering, or related fields or MS with 4+ years of AI research, or related work ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

Kiddom

Machine Learning Researcher

New York, NY · On-site

$175K - $250K/yr

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching ...

Kiddom

Machine Learning Researcher

San Francisco, CA · On-site

$175K - $250K/yr

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

Inference

Machine Learning Researcher

San Francisco, CA · On-site

$250K - $350K/yr

Perform reinforcement learning research to improve model alignment and capability * Develop and improve our distillation pipeline for training high-quality models from frontier teachers * Train ...

Extend

Machine Learning Researcher

New York, NY · On-site

$200K - $350K/yr

As a Machine Learning Engineer at Extend, you'll be responsible for building state-of-the-art ... in AI research, push for real-world customer impact (not only theory), and are excited about ...

Bland

Machine Learning Researcher, Audio

San Francisco, CA · On-site

$140K - $250K/yr

Machine Learning Researcher, Audio Location: San Francisco, CA or Remote About Bland At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we ...

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Machine Learning Researcher information

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$30K

$113.1K

$164.5K

How much do machine learning researcher jobs pay per year?

As of Jul 9, 2026, the average yearly pay for machine learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
More about Machine Learning Researcher jobs
What cities are hiring for Machine Learning Researcher jobs? Cities with the most Machine Learning Researcher job openings:
What are the most commonly searched types of Machine Learning Researcher jobs? The most popular types of Machine Learning Researcher jobs are:
What states have the most Machine Learning Researcher jobs? States with the most job openings for Machine Learning Researcher jobs include:
What job categories do people searching Machine Learning Researcher jobs look for? The top searched job categories for Machine Learning Researcher jobs are:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Machine Learning Researcher

Machine Learning Researcher

Morgan Stanley

Broadway, VA • On-site

$154K - $213K/yr

Full-time

Posted 21 hours ago

Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

40th of 146 rated financial services

Job description

Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms many business units and technology teams to solve mission-critical problems. We are a highly motivated and collaborative team of scientists, technologists, and market practitioners.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.

We are seeking someone capable of independently tackling research problems that have commercial applications. Ideal candidates will be able to apply the technical expertise and research acumen cultivated in their academic careers to real-world financial and operating problems. Please see our research papers for more: https://www.morganstanley.com/about-us/technology/machine-learning-research-team

What you'll bring to the role:

These candidates will have a track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues. We welcome candidates from both industry and academia, and at various levels of seniority, from Ph.D. students nearing graduation to established researchers. Broad experience across multiple fields is a plus.

  • Development experience in Python or R (C, C++, Java, etc is a plus)

  • Deep understanding of statistical learning methods

  • Strong communications and organizational skills

  • 4+ years of applicable research experience

  • Bachelor's degree required, Ph.D. desired

#LI-SK1

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

We're committed to bringing passion and customer focus to the business.

Expected base pay rates for the role will be between $154,000 and $213,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

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